CUNY Hunter College · PsychologyHIV Data Science Lab
Sarit A Golub · New York, New York
Research Focus
Dr. Sarit A. Golub's research focuses on improving healthcare for people living with HIV by using advanced data science techniques. The lab is particularly interested in leveraging machine learning algorithms to enhance care coordination strategies, ensuring that patients receive timely and effective support. This work aims to reduce emergency department visits and hospitalizations, ultimately improving health outcomes for vulnerable populations. Through various studies, the lab examines both the effectiveness and implementation challenges of these innovations in HIV care.
HIVdata sciencemachine learningcare coordinationhealth outcomesimplementation sciencepublic healthvulnerable populationsbehavioral economics
Research Aims
4AIM 01Improve health outcomes in people living with HIV through algorithm-driven care strategies.
AIM 02Evaluate the effectiveness of a machine-learning approach to care coordination.
AIM 03Assess the feasibility of implementing innovative case management interventions.
AIM 04Identify barriers and facilitators to successful care implementation.
Skills the Lab Values
data analysismachine learningRCT designsurveysstatistical programmingcommunity engagementqualitative researchhealthcare implementationpublic speaking
Output against the department
Publications177top 40% of dept.117th of 296
this lab
most publishedleast published
Citations7.2ktop 44% of dept.130th of 296
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.